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相关论文: Statistics of Gravitational Microlensing Magnifica…

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In Paper I we studied the theory of gravitational microlensing for a planar distribution of point masses. In this second paper, we extend the analysis to a three-dimensional lens distribution. First we study the lensing properties of…

天体物理学 · 物理学 2007-05-23 Man Hoi Lee , Arif Babul , Lev Kofman , Nick Kaiser

When a gravitationally lensed source crosses a caustic, a pair of images is created or destroyed. We calculate the mean number of such pairs of micro-images $<n>$ for a given macro-image of a gravitationally lensed point source, due to…

天体物理学 · 物理学 2016-08-30 Jonathan Granot , Paul L. Schechter , Joachim Wambsganss

It is conventional to calculate the probability of microlensing for a cosmologically distant source based on the Press-Gunn approximation that the lensing objects are uniformly and randomly distributed in the intervening space with a…

天体物理学 · 物理学 2009-11-07 J. S. B. Wyithe , E. L. Turner

We study microlensing of the faint images that form close to the centers of strong gravitational lens galaxies. These central images, which have finally begun to yield to observations, naturally appear in dense stellar fields and may be…

天体物理学 · 物理学 2008-11-26 Gregory Dobler , Charles R. Keeton , Joachim Wambsganss

Gravitationally lensed extragalactic sources are often subject to statistical microlensing by stars in the galaxy or cluster lens. Accurate models of the flux statistics are required for inferring source and lens properties from flux…

星系天体物理 · 物理学 2021-04-27 Liang Dai , Massimo Pascale

The microlensing probability (optical depth $\tau$) toward the Galactic center carries information about the mass distribution of the Galactic bulge/bar, so can be used to constrain the very uncertain shape parameters of the bar. We find…

天体物理学 · 物理学 2015-06-24 HongSheng Zhao , Shude Mao

We present a rigorous, detailed study of the generic, quantitative properties of gravitational microlensing near cusp catastrophes. We derive explicit formulas for the total magnification and centroid of the images created for sources…

天体物理学 · 物理学 2008-11-26 B. Scott Gaudi , A. O. Petters

Lensing effects on light rays from point light sources, such like Type Ia supernovae, are simulated in a clumpy universe model. In our universe model, it is assumed that all matter in the universe takes the form of randomly distributed…

天体物理学 · 物理学 2008-11-28 Chul-Moon Yoo , Hideki Ishihara , Ken-ichi Nakao , Hideyuki Tagoshi

Gravitational microlensing is a key probe of the nature of dark matter and its distribution on the smallest scales. For many practical purposes, confronting theory to observation requires to model the probability that a light source is…

宇宙学与河外天体物理 · 物理学 2020-04-29 Pierre Fleury , Juan García-Bellido

We derive an analytic expression for the mean magnification due to strong gravitational lensing, using a simple lens model, a singular isothermal sphere embedded in an external shear field. We compute separate expressions for 2-image and…

天体物理学 · 物理学 2009-11-07 Tehani K. Finch , Lisa P. Carlivati , Joshua N. Winn , Paul L. Schechter

The first investigations of the response of the microlensing magnification pattern (at an optical depth of order unity) to the mass function of the microlenses found that the resulting statistics depend only on the mean microlens mass <m>.…

天体物理学 · 物理学 2009-10-31 J. S. B. Wyithe , E. L. Turner

We develop an algorithm for the reconstruction of the two-dimensional mass distribution of a gravitational lens from the observable distortion of background galaxies. From the measured reduced shear, the lens mapping is obtained, from which…

天体物理学 · 物理学 2009-10-31 Tarun Deep Saini , Somak Raychaudhury

Microlensing near macro-caustics is a complex phenomenon in which swarms of micro-images produced by micro-caustics form on both sides of a macro-critical curve. Recent discoveries of highly magnified images of individual stars in massive…

We estimate the fraction of mass that is composed of compact objects in gravitational lens galaxies. This study is based on microlensing measurements (obtained from the literature) of a sample of 29 quasar image pairs seen through 20 lens…

宇宙学与河外天体物理 · 物理学 2014-11-20 E. Mediavilla , J. A. Munoz , E. Falco , V. Motta , E. Guerras , H. Canovas , C. Jean , A. Oscoz , A. M. Mosquera

Recent observations of lensed galaxies at cosmological distances have detected individual stars that are extremely magnified when crossing the caustics of lensing clusters. In idealized cluster lenses with smooth mass distributions, two…

宇宙学与河外天体物理 · 物理学 2017-11-30 Tejaswi Venumadhav , Liang Dai , Jordi Miralda-Escudé

Applications of the phase space approach to the calculation of the microlensing autocorrelation function are presented. The continuous propagation equation for a random star field with a Gaussian velocity distribution is solved in the…

天体物理学 · 物理学 2009-11-11 Artem V. Tuntsov , Geraint F. Lewis

We show that the statistical error, $\sigma_{\tau}$, in estimating the optical depth, $\tau$, due to microlensing is substantially higher than the naive Poisson estimate: $\sigma_{\tau} = \sqrt{\eta / N} \tau$, where $N$ is the number of…

天体物理学 · 物理学 2009-10-22 Cheongho Han , Andrew Gould

Lensing in the context of rich clusters is normally quantified from small image distortions, yielding a relative mass distribution in the limit of weak lensing. Here we show the magnification effect of lensing can also be mapped over a…

天体物理学 · 物理学 2016-08-30 Tom Broadhurst

We prove a gravitational lensing theorem: the magnification of a source of uniform brightness by a foreground spherical lens is mu =1+pi(2R_E^2-R_L^2)/A, where A is the area of the source and R_E and R_L are the Einstein radius and size of…

天体物理学 · 物理学 2009-11-07 Eric Agol

We compute statistical properties of weak gravitational lensing by large-scale structure in three Cold Dark Matter models. We use a P$^3$M $N$-body code to simulate the formation and evolution of large-scale structure in the universe. We…

天体物理学 · 物理学 2009-10-31 Takashi Hamana , Hugo Martel , Toshifumi Futamase
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